In this section we present the results of the refinement approach of [1]}. ConfidNet (CFN) learns as a post-processing step a point-estimate for new predictions. The pre-trained classification branch drives the classification of an input sample, and for estimating the confidence for the prediction, the estimate from the confidence branch is employed.
